佛萨奇2.0系统开发搭建源码部署教程

采用opencv自带的svm分类器，演示采用HOG算法的行人检测

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using Emgu.CV;
using Emgu.CV.Structure;

namespace HOGtest
{

public partial class Form1 : Form
{
    public Form1()
    {
        InitializeComponent();
    }

    private void button1_Click(object sender, EventArgs e)
    {
        Image<Bgr, Byte> img = new Image<Bgr, Byte>("001.jpg");//测试图片
        Emgu.CV.HOGDescriptor hog = new HOGDescriptor();//建立HOG描述子
        hog.SetSVMDetector(HOGDescriptor.GetDefaultPeopleDetector());//设置分类器模型数据，这里是opencv默认的模型
        MCvObjectDetection[] vec = hog.DetectMultiScale(img);//获得检测结果
        Image<Bgr, Byte> ss = new Image<Bgr, Byte>(img.ToBitmap());//在新图像上表示结果
        for (int i = 0; i < vec.GetLength(0); i++)
        {
            Rectangle r = vec[i].Rect;
            MCvScalar s = new MCvScalar(0,0,0);
            CvInvoke.Rectangle(ss,r,s);
        }
        pictureBox1.Image = ss.ToBitmap();
    }
}

}